Bibliographic record
Abstract
This paper investigates the relationship between social security and laobour market in France and calculates the regression relation among social security expenditure,social security contribution,enterprise investment and unemployment rate.The results Indicated that the labour market has a closed relevance with social security. Reducing the social security contribution of enterprise is an important means to control the unemployment.And the proper level social security expenditure is the most crucial factor to keep the beneficial cycle between social security and laobour market . Key words: Social Security Contribution, Social Security Expenditure, Labour Market Resume: Dans cet article, on fait des enquetes et des analyses sur la relation entre la securite sociale et le marche du travail dans la societe francaise, et des calcules des relations entre l’offre de la securite sociale, des investissments d’entreprises, et du chomage ; la baisse de la charge d’entreprise sur la securite sociale est tres effective pour baisser le chomage ; le traitement convenable de la societe sociale est la cle pour garder la bonne circulation entrela securite et le marche du travail. Mots-Cles: securite sociale cotisation, securite sociale depense, marche du travail
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.004 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".